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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 2 new columns ({' x4', ' x3'}) This happened while the csv dataset builder was generating data using hf://datasets/williamgilpin/dysts/coarse/ArnoldWeb_coarse.csv (at revision 5d305abb3c9010e36ca6a3e6c967b72932f6cca9) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast time: double x0: double x1: double x2: double x3: double x4: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 905 to {'time': Value(dtype='float64', id=None), 'x0': Value(dtype='float64', id=None), ' x1': Value(dtype='float64', id=None), ' x2': Value(dtype='float64', id=None)} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 2 new columns ({' x4', ' x3'}) This happened while the csv dataset builder was generating data using hf://datasets/williamgilpin/dysts/coarse/ArnoldWeb_coarse.csv (at revision 5d305abb3c9010e36ca6a3e6c967b72932f6cca9) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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time
float64 | x0
float64 | x1
float64 | x2
float64 |
---|---|---|---|
0 | -0.784502 | -0.628877 | -0.176203 |
1 | -0.708158 | -0.681436 | -0.189307 |
2 | -0.628996 | -0.725622 | -0.201585 |
3 | -0.547893 | -0.761401 | -0.213058 |
4 | -0.465703 | -0.788828 | -0.223747 |
5 | -0.383247 | -0.808037 | -0.233671 |
6 | -0.301308 | -0.819242 | -0.242849 |
7 | -0.220621 | -0.822723 | -0.251298 |
8 | -0.141869 | -0.818824 | -0.259038 |
9 | -0.065683 | -0.807942 | -0.26609 |
10 | 0.007368 | -0.790522 | -0.272476 |
11 | 0.076775 | -0.767048 | -0.278218 |
12 | 0.14209 | -0.738035 | -0.28334 |
13 | 0.20293 | -0.704025 | -0.287866 |
14 | 0.258976 | -0.665576 | -0.291821 |
15 | 0.309968 | -0.623258 | -0.295228 |
16 | 0.355711 | -0.577646 | -0.298109 |
17 | 0.396067 | -0.529313 | -0.300486 |
18 | 0.430956 | -0.478826 | -0.302379 |
19 | 0.460351 | -0.426742 | -0.303804 |
20 | 0.484279 | -0.373599 | -0.304778 |
21 | 0.502812 | -0.319917 | -0.305315 |
22 | 0.516068 | -0.266191 | -0.305428 |
23 | 0.524204 | -0.212892 | -0.305127 |
24 | 0.527416 | -0.160458 | -0.304423 |
25 | 0.525931 | -0.109296 | -0.303324 |
26 | 0.520005 | -0.059781 | -0.301839 |
27 | 0.509919 | -0.012251 | -0.299974 |
28 | 0.495973 | 0.03299 | -0.297738 |
29 | 0.478486 | 0.075675 | -0.295138 |
30 | 0.45779 | 0.115575 | -0.29218 |
31 | 0.434223 | 0.152494 | -0.288872 |
32 | 0.408132 | 0.186276 | -0.285219 |
33 | 0.379866 | 0.216796 | -0.281229 |
34 | 0.349772 | 0.243967 | -0.276908 |
35 | 0.318193 | 0.267732 | -0.272262 |
36 | 0.285468 | 0.288065 | -0.267296 |
37 | 0.251926 | 0.304973 | -0.262014 |
38 | 0.217885 | 0.318486 | -0.256422 |
39 | 0.183649 | 0.328665 | -0.250522 |
40 | 0.14951 | 0.335591 | -0.244318 |
41 | 0.115741 | 0.339369 | -0.237812 |
42 | 0.082599 | 0.340123 | -0.231006 |
43 | 0.050323 | 0.337995 | -0.2239 |
44 | 0.019131 | 0.333142 | -0.216495 |
45 | -0.010778 | 0.325735 | -0.208789 |
46 | -0.039225 | 0.315956 | -0.200783 |
47 | -0.066052 | 0.303997 | -0.192475 |
48 | -0.091122 | 0.290055 | -0.183862 |
49 | -0.114319 | 0.274334 | -0.174943 |
50 | -0.135545 | 0.257042 | -0.165714 |
51 | -0.154726 | 0.238387 | -0.156173 |
52 | -0.171802 | 0.218578 | -0.146315 |
53 | -0.186737 | 0.197821 | -0.136138 |
54 | -0.199511 | 0.17632 | -0.125636 |
55 | -0.210119 | 0.154276 | -0.114806 |
56 | -0.218575 | 0.131882 | -0.103643 |
57 | -0.224907 | 0.109325 | -0.092141 |
58 | -0.229159 | 0.086784 | -0.080295 |
59 | -0.231384 | 0.064431 | -0.0681 |
60 | -0.231652 | 0.042427 | -0.05555 |
61 | -0.230041 | 0.020923 | -0.042638 |
62 | -0.226639 | 0.00006 | -0.029358 |
63 | -0.221543 | -0.020032 | -0.015702 |
64 | -0.214858 | -0.039234 | -0.001665 |
65 | -0.206693 | -0.057438 | 0.012762 |
66 | -0.197167 | -0.07455 | 0.027585 |
67 | -0.186398 | -0.090484 | 0.042812 |
68 | -0.174511 | -0.10517 | 0.058452 |
69 | -0.161632 | -0.118544 | 0.07451 |
70 | -0.147887 | -0.130558 | 0.090996 |
71 | -0.133405 | -0.141173 | 0.107916 |
72 | -0.118313 | -0.150361 | 0.125279 |
73 | -0.102736 | -0.158103 | 0.143091 |
74 | -0.0868 | -0.164392 | 0.16136 |
75 | -0.070625 | -0.169229 | 0.180092 |
76 | -0.054331 | -0.172625 | 0.199294 |
77 | -0.038033 | -0.174597 | 0.218972 |
78 | -0.021841 | -0.175174 | 0.239132 |
79 | -0.005863 | -0.174388 | 0.259779 |
80 | 0.009802 | -0.172281 | 0.280917 |
81 | 0.025056 | -0.168901 | 0.302551 |
82 | 0.039808 | -0.164299 | 0.324682 |
83 | 0.053974 | -0.158534 | 0.347313 |
84 | 0.067474 | -0.151668 | 0.370444 |
85 | 0.080235 | -0.143769 | 0.394076 |
86 | 0.092189 | -0.134907 | 0.418206 |
87 | 0.103274 | -0.125155 | 0.442832 |
88 | 0.113436 | -0.114589 | 0.467948 |
89 | 0.122625 | -0.103289 | 0.493548 |
90 | 0.130797 | -0.091334 | 0.519624 |
91 | 0.137914 | -0.078807 | 0.546166 |
92 | 0.143945 | -0.06579 | 0.57316 |
93 | 0.148863 | -0.052367 | 0.600593 |
94 | 0.152646 | -0.038623 | 0.628446 |
95 | 0.15528 | -0.024643 | 0.6567 |
96 | 0.156753 | -0.01051 | 0.685334 |
97 | 0.157061 | 0.00369 | 0.71432 |
98 | 0.156203 | 0.017874 | 0.743633 |
99 | 0.154183 | 0.031956 | 0.773242 |
End of preview.